Lead Data Engineer Azure
Lead Data Engineer Azure
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Job Description
Urgently looking for highly experienced Lead Data Engineer with a proven track record in Azure data technologies and team leadership. The ideal candidate will have 12 years of experience including 7 years of expertise in Azure Data Factory Azure Databricks Data Modeling PySpark SQL Queries and Unity Catalog. This is a remote role requiring excellent leadership technical and problemsolving skills.
Key Responsibilities
Leadership: Lead and mentor a team of data engineers ensuring project deliverables are met with high quality and on time.
Architecture and Design: Design and implement scalable secure and efficient data solutions using Azure services.
Development: Build monitor and optimize complex data pipelines and workflows using Azure Data Factory and Azure Databricks.
Data Modeling: Design robust data models to support analytical and operational needs.
Programming: Write and optimize SQL queries and utilize PySpark for largescale data processing and transformation.
Data Governance: Implement data security and governance frameworks using Unity Catalog and ensure compliance with organizational standards.
Collaboration: Work closely with business stakeholders data scientists and analysts to understand requirements and translate them into technical solutions.
ProblemSolving: Troubleshoot and resolve datarelated issues to ensure seamless operations and data availability.
Process Improvement: Advocate and implement best practices in data engineering coding standards and Agile methodologies.
Qualifications and Skills
Experience:
12 years of professional experience in data engineering and analytics.
7 years of handson expertise in Azure Data Factory Azure Databricks Data Modeling PySpark SQL Queries and Unity Catalog.
Leadership: Proven experience in leading and managing engineering teams with the ability to inspire and guide team members effectively.
Technical Expertise:
Deep understanding of Azure cloud services and data ecosystems.
Strong knowledge of ETL/ELT processes and big data architectures.
Proficient in Python and SQL for data manipulation and analysis.
Soft Skills:
Excellent communication and collaboration abilities in a remote environment.
Problemsolving mindset with a focus on innovation and continuous improvement.
Ability to manage multiple priorities and meet tight deadlines.
Preferred: Familiarity with Agile and DevOps practices.
Interested candidates kindly share their updated profile at
Employment Type
Full-Time
